Multi-brand role - Wolt
BI Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About the Team
The Core BI team at DoorDash builds and operates the services, integrations, and automation that power business intelligence across DoorDash, Deliveroo, and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers, and business teams discover trusted data and make informed decisions at scale.
We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable, and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group.
About the Role
As a BI Engineer on the Core BI team, you will build and operate the models, systems, and automation behind our BI platforms. This will include supporting our extensive user base on our current BI stack (primarily Looker and Sigma) while helping shape a single, more integrated BI platform across DoorDash, Deliveroo, and Wolt.
You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers, and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You’re excited about this opportunity because you will…
- Own and evolve the semantic layer behind our BI platforms: LookML and Canvas BI models, metric and dimension definitions, and the governance that keeps them trusted
- Build and operate the Looker and Sigma platforms themselves: instance and workspace configuration, permissions and user attributes, content lifecycle, and API-driven automation
- Lead the development of self-serve tooling that removes manual BI administration, using usage analytics to decide what to automate, build, or retire next
- Support BI platform migrations and deprecations across DoorDash, Deliveroo, and Wolt while protecting access, governance, data integrity, and business continuity
- Take part in operational support, production debugging, and incident response for the BI stack, and fix the root causes you find
- Champion engineering standards in BI, including version control, code review, CI, and testing for models and platform code, so changes ship safely and repeatably
We’re excited about you because…
- 3+ years of experience in business intelligence engineering, analytics engineering, data engineering, or a similar code-first data role
- Strong Python and SQL skills, and hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) to accelerate your own engineering work
- Hands-on experience building in a BI platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it
- Experience with semantic or metrics layers (LookML, dbt, or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused
- Experience running what you build in production: version control, code review, CI, debugging live issues, and taking part in operational support
- Excellent communication skills, and comfortable self-organizing in a fast-paced, distributed environment with both technical and non-technical teams


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM, or role-based access controls
- Experience supporting a BI stack across multiple brands, tenants, or regions, or leading a BI platform migration
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location